High-throughput functional annotation and data mining of fungal genomes to identify therapeutic targets

Gagan Garg, Shoba Ranganathan

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


    With the advent of next-generation sequencing approaches and mass ­spectrometry techniques, there is a huge explosion in nucleotide and protein sequence data. Despite this increase in sequence data, several proteins remain unannotated, such as hypothetical proteins. Annotation and extraction of secretory proteins from the proteome using labor-intensive wet-lab techniques is prohibitive. Computational tools can be used to provide putative functionality, prior to experimental validation. This chapter introduces a bioinformatics workflow system using the best currently available free computational tools for the annotation of hypothetical proteins and prediction and analysis of secreted proteins as therapeutic targets, applied to pathogenic fungi, Cryptococcus gattii, and Cryptococcus neoformans var. grubii.
    Original languageEnglish
    Title of host publicationLaboratory protocols in fungal biology
    Subtitle of host publicationcurrent methods on fungal biology
    EditorsVijai Kumar Gupta, Maria G. Tuohy, Manimaran Ayyachamy, Kevin M. Turner, Anthonia O'Donovan
    Place of PublicationNew York
    PublisherSpringer, Springer Nature
    Number of pages6
    ISBN (Print)9781461423560
    Publication statusPublished - 2013

    Publication series

    NameFungal biology


    • Annotation
    • Drug targets
    • Interproscan
    • Protein domains
    • BRITE
    • FASTA
    • KEGG
    • KAAS
    • SPAAN


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